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Exploring how Different Instructional Methods Compare to Improve Student Performance and Satisfaction in an Online Environment.

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Conference

2023 ASEE Annual Conference & Exposition

Location

Baltimore , Maryland

Publication Date

June 25, 2023

Start Date

June 25, 2023

End Date

June 28, 2023

Conference Session

Materials Division (MATS) Technical Session 3

Tagged Division

Materials Division (MATS)

Tagged Topic

Diversity

Page Count

12

DOI

10.18260/1-2--43610

Permanent URL

https://strategy.asee.org/43610

Download Count

115

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Paper Authors

biography

Michael Roberts University of Florida

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Currently, I work as a Technology Coach for a research grant. I have research experience in numerous fields including Magnetic Barkhausen Noise (MBN) in HY80 steel, Engineering Education, Artificial Intelligence (AI), and my current senior design project involves designing a sensor to detect volatile gases in moon regolith (moon rock). long with my research experience, I have developed my programming and computational skills which have assisted me in performing and teaching
aspects of data analytics and data science. My diverse research background has allowed me to learn about different areas of engineering and I can use everything I have already learned and apply it to the next job, project, or task.

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Abstract

Engineering education involves researching and establishing effective instructional strategies in higher education with an aim to improve student learning outcomes. The recent COVID-19 pandemic has forced many students to transition to online learning rather than traditional in-person learning. Online learning has been implemented before COVID-19; however, it has become very widespread recently and this presents a whole new realm of instructional methods. Students learn in many different ways and recognizing a model where students are set up to succeed is crucial. Investigating the effects of instructional methods on student performance and student satisfaction in online learning can be instrumental in identifying the most ideal model for students. In this research, two different instructional methods in an online setup, traditional and flipped, were compared and evaluated. Student performance and course evaluations from an introductory materials science and engineering course at a Southeastern university in the United States were analyzed. Preliminary results suggested the overall exam averages of the traditional and flipped setup were not significantly different. Further analysis was performed on the exams to identify the challenging topics to come up with an improved way to deliver the course content. In addition, student satisfaction was quantified using the course evaluation data.

Roberts, M. (2023, June), Exploring how Different Instructional Methods Compare to Improve Student Performance and Satisfaction in an Online Environment. Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43610

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